Sean Ho

DEVCOM Army Research Laboratory, K Lab (United States)

Papers

Total Citations

H-Index

About

Sean Ho’s research lies at the intersection of computer vision and mobile robotics, with a focus on enabling autonomous systems to perceive and interact with their environments. His most cited work, “Orientation descriptors for localization in urban environments” (2011, 11 citations), introduces a novel algorithm for detecting electrical outlets from monocular camera images and calculating their 3D coordinates with sufficient accuracy for a robot to plug in without visual servoing—a significant step toward practical autonomous manipulation. This contribution demonstrates his ability to bridge perception and action, moving beyond passive recognition to actionable spatial understanding. Ho’s earlier work, “Detecting and tracking humans using a man-portable robot” (2009, 2 citations), addresses the challenge of integrating advanced human detection and tracking techniques onto small, portable robotic platforms, enhancing situational awareness in field applications. While his citation counts reflect a focused, early-career impact, his work on orientation descriptors stands out for its clever combination of geometric reasoning and real-world deployment, offering a concrete solution to a persistent problem in robotics. Ho’s research is particularly valuable for students and engineers interested in vision-based localization, autonomous manipulation, and human-robot interaction in unstructured environments.